Parallel Implementation of Partially Connected Recurrent Networks

Abstract

| Recurrent neural networks are suitable for solving problems with temporal extent e.g. speech recognition, time series prediction, sequence generation. The biggest problem is, however, its computational complexity during the training process. Using the well-known Real Time Recurrent Learning rule by D. Zipser and R.J. William 2], the training time of each… (More)

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